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Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 994 papers shown

Title
Multimodal Sensor Fusion with Differentiable Filters Michelle A. Lee Brent Yi Roberto Martín-Martín Silvio Savarese Jeannette Bohg 78 59 0 25 Oct 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics Jianren Wang Yujie Lu Hang Zhao 93 5 0 23 Oct 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 293 69 0 23 Oct 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Guangxiang Zhu Minghao Zhang Honglak Lee Chongjie Zhang OffRL 132 18 0 23 Oct 2020
Influence-Augmented Online Planning for Complex Environments J. He Miguel Suau F. Oliehoek 22 6 0 21 Oct 2020
Iterative Amortized Policy Optimization Joseph Marino Alexandre Piché Alessandro Davide Ialongo Yisong Yue OffRL 117 21 0 20 Oct 2020
Dream and Search to Control: Latent Space Planning for Continuous Control Anurag Koul Varun V. Kumar Alan Fern Somdeb Majumdar 74 6 0 19 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 112 28 0 19 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 110 60 0 15 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 92 38 0 13 Oct 2020
Local Search for Policy Iteration in Continuous Control Jost Tobias Springenberg N. Heess D. Mankowitz J. Merel Arunkumar Byravan ... Julian Schrittwieser Yuval Tassa J. Buchli Dan Belov Martin Riedmiller OffRL 77 15 0 12 Oct 2020
Learning the Linear Quadratic Regulator from Nonlinear Observations Zakaria Mhammedi Dylan J. Foster Max Simchowitz Dipendra Kumar Misra Wen Sun A. Krishnamurthy Alexander Rakhlin John Langford 94 30 0 08 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 110 12 0 07 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 143 875 0 05 Oct 2020
Offline Learning for Planning: A Summary Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel OffRL 51 4 0 05 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 62 8 0 03 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 84 45 0 28 Sep 2020
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 84 50 0 25 Sep 2020
Reinforcement Learning Approaches in Social Robotics Neziha Akalin Amy Loutfi OffRL 81 103 0 21 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 55 5 0 21 Sep 2020
Latent Representation Prediction Networks Hlynur Davíð Hlynsson Merlin Schuler Robin Schiewer Tobias Glasmachers Laurenz Wiskott 20 1 0 20 Sep 2020
Learning to Identify Physical Parameters from Video Using Differentiable Physics Rama Krishna Kandukuri Jan Achterhold Michael Möller J. Stückler SSL 48 14 0 17 Sep 2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control Boris Ivanovic Amine Elhafsi Guy Rosman Adrien Gaidon Marco Pavone 80 55 0 16 Sep 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 374 345 0 14 Sep 2020
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley ODL 81 17 0 11 Sep 2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning Lucas Manuelli Yunzhu Li Peter R. Florence Russ Tedrake SSL 90 106 0 10 Sep 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 88 53 0 03 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 136 220 0 28 Aug 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 77 6 0 27 Aug 2020
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing Wei Shen Xiaonan He Wei Shen Q. Ni Wanchun Dou Yan Wang 56 18 0 25 Aug 2020
Dynamic Future Net: Diversified Human Motion Generation Wenheng Chen He Wang Yi Yuan Tianjia Shao Kun Zhou 3DH 96 23 0 25 Aug 2020
Action-Based Representation Learning for Autonomous Driving Yi Xiao Felipe Codevilla C. Pal Antonio M. López 80 10 0 21 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 66 8 0 18 Aug 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 83 103 0 14 Aug 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 97 155 0 12 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 106 17 0 11 Aug 2020
Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma Siwei Chen David Hsu W. Lee OffRL 72 23 0 06 Aug 2020
Learning Transition Models with Time-delayed Causal Relations Junchi Liang Abdeslam Boularias OffRL 42 3 0 04 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 105 84 0 29 Jul 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 101 9 0 26 Jul 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 120 73 0 24 Jul 2020
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference S. Rezaei-Shoshtari David Meger I. Sharf BDL DRL 26 2 0 22 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay Yangchen Pan Jincheng Mei Amir-massoud Farahmand Martha White Hengshuai Yao Mohsen Rohani Jun Luo 57 12 0 19 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 83 65 0 14 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 110 321 0 12 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 91 204 0 09 Jul 2020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning H. V. Seijen Hadi Nekoei Evan Racah A. Chandar OffRL 57 14 0 07 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas Samuel Sokota Erin J. Talvitie Martha White 81 34 0 05 Jul 2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control Yaofeng Desmond Zhong Naomi Ehrich Leonard DRL AI4CE 93 43 0 03 Jul 2020
Swoosh! Rattle! Thump! -- Actions that Sound Dhiraj Gandhi Abhinav Gupta Lerrel Pinto 121 42 0 03 Jul 2020